چکیده مقاله
Active learning aims to improve the performance of the task model by selecting the mostinformative samples with a limited budget In object detection tasks, due to high cost of drawingobject bounding boxes i e labeling for millions of images, effective active learning is crucial This paper aims to provide a description of two important recent proposed active learningmethods for object detection Then uses ALBench, a new benchmark for evaluation of activelearning methods and compares these two methods
کلیدواژهها
نویسندگان
AbdulAli Ahmadi
Department of Mathematics, Tarbiat Modares University, Tehran,
شیوه ارجاع
Ahmadi, AbdulAli,1402,A Comparative Study on Active Learning for Object Detection,19th National Conference of Computer Science and Engineering and Information Technology,Babol
ارائهشده در
مجموعه مقالات نوزدهمین کنفرانس ملی علوم و مهندسی کامپیوتر و فناوری اطلاعات28 اردیبهشت 1402 · بابل